Top DevOps Jobs in Dublin

Lead design, develop, and deploy Java-based microservices for a high-traffic B2B payments platform. Apply 12-factor principles, cloud (AWS/Azure), CI/CD, containerization, and performance optimization. Collaborate with product, TPMs, and QA, perform code reviews, and ensure security and architecture compliance.

Lead design, development, and deployment of scalable Java microservices for a high-traffic B2B payments platform. Apply 12-factor principles, CI/CD, containers, cloud (AWS/Azure), and automated testing. Collaborate with product, TPMs, and QA; perform code reviews; ensure performance, security, and adherence to enterprise standards.

Lead design, develop, and deploy scalable Java microservices for a global B2B payments platform. Collaborate with product, TPMs, and QA across the lifecycle, apply 12-factor and cloud-native principles, optimize performance and reliability, perform code reviews, and drive engineering best practices and compliance.

Lead design, develop, and deploy high-quality Java microservices following 12-factor principles. Collaborate with product, TPMs and test engineers across the SDLC, perform code reviews, support CI/CD, containerization, optimize performance and ensure compliance with security and architecture standards.

Lead design, develop, and deploy high-quality Java microservices for a scalable, cloud-ready B2B payments platform. Participate across the SDLC, perform code reviews, optimize performance, and collaborate with product, TPMs, and test engineers while ensuring security and enterprise standards.

Lead and grow an observability engineering team to design, build, and operate large-scale distributed tracing and metrics platforms. Drive architecture, design reviews, capacity planning, POCs, CI/CD and resilience practices, and collaborate across teams to enable a full DevOps model.

Senior Site Reliability Engineer responsible for ensuring reliability, scalability, and performance of Mastercard applications. Drive observability, automation, capacity planning, incident triage, root-cause analysis, and proactive improvements. Collaborate with developers to embed operational design, implement CI/CD and infrastructure-as-code, and apply ITSM practices to manage incidents, changes, and risk while mentoring peers and contributing to operational standards and documentation.

Perform security reviews of third-party and internal applications, advise on secure architecture and cloud designs, define SDLC security requirements, collaborate with developers, and apply GenAI-based automation to enhance security processes.

Perform security reviews of third-party and internal applications; recommend secure designs and controls; define cloud and SDLC security for applications, mobile, web services, DevOps, CI/CD and GenAI/LLM use; collaborate with developers and stakeholders; ensure policies, standards, and regulatory requirements are met; present technical findings and implement secure automation.

Assess and harden applications, third-party technologies, and cloud systems; define secure designs and requirements; consult with developers and stakeholders; apply cryptography, security protocols, and automation (including GenAI/LLM) to enable secure SDLC and CI/CD practices.

Lead security reviews of internal and third-party applications, advise on secure design and architecture, define cloud and SDLC security requirements, automate security checks (including GenAI/LLM), collaborate with developers and stakeholders to meet regulatory and security standards, and support security strategy, standards, and controls across application, mobile, web service, DevOps and CI/CD environments.

Lead security reviews and architecture for applications, cloud, DevOps and mobile; evaluate third-party tech; define secure designs, controls and SDLC requirements; collaborate with developers and stakeholders to implement cryptography, CI/CD, GenAI/LLM safeguards and operational security controls.

Lead security reviews and secure design for internal and third-party applications. Advise developers and stakeholders on secure architecture, cloud and DevOps controls, cryptography, and AI/LLM risks. Define security requirements, standards, and SDLC practices; perform technical evaluations, automation using GenAI, and present findings to business and technical teams.

Lead security reviews and secure engineering for internal and third-party applications. Define security requirements for cloud, mobile, web services, DevOps and CI/CD. Recommend secure designs, perform technical evaluations, present findings, and help implement GenAI-based automation and cryptography controls.

Lead security reviews of third-party and internal applications, advise on secure architecture and SDLC practices, define cloud and application security controls, collaborate with developers and stakeholders, apply cryptography and security tooling expertise, and advance GenAI/LLM-based automation for security processes.

Lead security reviews of internal and third-party applications, advise on secure architecture and cloud designs, define SDLC security requirements, apply GenAI automation, collaborate with developers and stakeholders to meet security and regulatory needs, and implement cryptography and infrastructure security controls.

Senior Information Security Engineer to perform security reviews of third-party and internal technologies, advise on secure design and architecture (cloud, mobile, DevOps, CI/CD, GenAI), define security requirements, collaborate with developers and stakeholders, and ensure compliance with security policies and standards.

Own and evolve Mastercard's AI-native data platform and applications: define roadmap, treat data as product with SLAs and governance, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure regulatory and security compliance, and translate regional customer needs into scalable data products.

Own and evolve an AI-native data platform and products: define roadmap and backlog, treat data as a product with SLAs and governance, transform structured/unstructured data into reusable schemas and datasets, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure compliance with security/privacy, translate regional needs into scalable models, analyze market trends, and drive product delivery within budget and timelines.

Lead product strategy and execution for Mastercard's AI-native data platform and products. Define roadmaps, data-as-product SLAs, governance, reusable data primitives and agentic AI/HITL workflows. Manage cross-functional teams, ensure compliance with security/privacy/regulatory requirements, translate regional needs, and deliver scalable data models, APIs, dashboards and datasets to meet business objectives.

As the Lead Program Security Engineer, you'll ensure security within Mastercard's Data and AI initiatives by implementing secure practices, architecture, and risk management across teams and products.

Own and evolve Mastercard's AI-native data platform and products: define roadmaps, treat data as a product with SLAs and governance, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure compliance with security/privacy/regulatory teams, and translate regional requirements into scalable data models and datasets.

Lead security partner for Data Commercialization and AI programs: advise on secure design, translate policies into actionable guidance, lead security reviews (threat models, code/design reviews), embed controls in SDLC, support vulnerability management, and drive security automation and standards across data and AI platforms.

Own and evolve an AI-native data platform and applications: define roadmap and backlog, treat data as a product with SLAs and governance, lead cross-functional teams to build reusable data primitives, ontologies and datasets, operationalize agentic AI and HITL workflows, ensure compliance with security/privacy/regulatory requirements, and translate regional customer needs into scalable solutions.

Own and evolve Mastercard's Data & AI platform and products: define roadmaps, treat data as a product, lead cross-functional teams, ensure governance and compliance, operationalize agentic AI and HITL workflows, translate regional requirements, and deliver scalable, high-quality data products.